Munkahely és beosztás

Tudományos munkatárs

MTA Nyelvtudományi Intézet

Tanulmányok

2004	doktori fokozat, nyelvtechnológia, Tilburg University, Hollandia Disszertáció címe: Extracting Information from Spoken User Input. A Machine Learning Approach
1998	angol nyelv és irodalom szakos bölcsészdiploma
1998	orosz nyelv és irodalom szakos bölcsészdiploma

Részvétel nemzetközi és hazai projektekben

2011-	CESAR (CEntral and South-East EuropeAn Resources) projekt Nemzeti nyelvi infrastruktúrák egységesítése, összekapcsolása
2010-2011	CLARIN (Common language resources and technology infrastructure) projekt Nyelvi erőforrások és nyelvtechnológia integrált, egységes, állandó, mindenki számára elérhető és könnyen kiterjeszthető infrastruktúrájának létrehozása
2009-	AMICUS (Automated Motif dIscovery in CUltural heritage and Scientific communication texts) projekt Digitális kulturális örökségi nyelvfeldolgozási kutatás, motívumok modellezése
2007-2009	MITCH: Mining Information from Texts of Cultural Heritage (Tilburg University) Szövegbányászat múzeumi adatbázisokból
2005-2007	Robust language understanding in question answering dialogues (Tilburg University) Szemantikai erőforrások fejlesztése keresőrendszerekben
2001-2004	Learning to communicate: Applying machine learning to dialogue strategies (Tilburg University) Gépi tanulás alkalmazása ember-gép párbeszédekre

Nyelvtudás

angol felsőfok

orosz felsőfok

holland középfok

német alapfok

francia alapfok

• Declerck, T., Lendvai, P., T. Wunner (2011).
  Linguistic and Semantic Features of Textual Labels in Knowledge Representation Systems.
  In: Proc. of Sixth Joint ACL - ISO Workshop on Interoperable Semantic Annotation.
• Lendvai, P. (2011).
  Towards a Discourse-driven Taxonomic Inference Model.
  In: Bouma, G. and van den Bosch, A. (eds). Interactive Multi-modal Question Answering. Springer.
• Lendvai, P., T. Váradi, S. Darányi, T. Declerck. (In press).
  Assignment of Character and Action Types in Folk Tales.
  In: Proc. of the 2010 NooJ conference.
• Declerck, T., Scheidel, A., Lendvai, P. (In press).
  Proppian Content Descriptors in an Integrated Annotation Schema for Fairy Tales.
  In: Selected Papers from the LaTeCH workshop series. Springer: Foundations of Human Language Processing and Technology.

• Declerck, T. and Lendvai, P. (2010)
  A Three-Level Representation Model for supporting the Interoperability of Conceptual, Terminological and Linguistic Resources.
  In: Proceedings of ICGL2010: The Second International Conference on Global Interoperability for Language Resources. 18-20 January
• Lendvai, P., T. Váradi, M. Wynne, Y. Berglund. (2010)
  Humanities and Social Sciences Organizations, Initiatives and Projects Report.
  CLARIN Deliverable: D3C-3.2.
• Lendvai, P., T. Declerck, S. Darányi, S. Malec. (2010)
  Propp Revisited: Integration of Linguistic Markup into Structured Content Descriptors of Tales.
  Digital Humanities 2010, London, United Kingdom, Oxford University Press, 7/2010.
• Declerck, T., Lendvai, P. (2010)
  Towards a standardized linguistic annotation of the textual content of labels in Knowledge Representation Systems.
  In: Proceedings of the seventh international conference on Language Resources and Evaluation, LREC 2010, Valetta, Malta, ELRA, 2010.
• Declerck, T., K. Eckart, P. Lendvai, L. Romary, T. Zastrow (2010).
  Towards a Standardised Linguistic Annotation of Fairy Tales.
  In: Proc. of the LRT standards workshop at LREC-2010.
• Lendvai, P., Declerck, T., S. Darányi, P. Gervás, R. Hervás, S. Malec, F. Peinado. (2010)
  Integration of Linguistic Markup into Semantic Models of Folk Narratives: The Fairy Tale Use Case.
  In: Proceedings of the Seventh International conference on Language Resources and Evaluation, Pages 1996-2001, Valetta, Malta, European Language Resources Association (ELRA).
• Declerck, T., Scheidel, A., Lendvai, P. (2010)
  Proppian Content Descriptors in an Augmented Annotation Schema for Fairy Tales.
  In: C. Sporleder, K. Zervanou (eds). Proceedings of the ECAI 2010 Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities, Lisbon, Portugal, IOS Press, European Coordinating Committee for Artificial Intelligence -- ECAI, 8/2010.
• Darányi, S., Lendvai, P. (eds.). (2010)
  Proceedings of the First International AMICUS Workshop on Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts. Vienna, Austria, University of Szeged, Hungary.
• Lendvai, P. (2010)
  Granularity Perspectives on Modeling Humanities Concepts.
  In: S. Darányi, P. Lendvai, (eds.). First International AMICUS Workshop on Automated Motif Discovery in Cultural Heritage and Scientific Communication Texts, Vienna, Austria. University of Szeged, Hungary.

• P. Lendvai (2009).
  Towards Acquisition of Taxonomic Inference.
  In: Proc. of Eighth International Conference on Computational Semantics (IWCS-09).
• M. van Erp, P. Lendvai, A. van den Bosch (2009).
  Comparing Alternative Data-Driven Ontological Vistas of Natural History.
  In: Proc. of Eighth International Conference on Computational Semantics (IWCS-09).
• P. Lendvai and L. Borin (Eds.) (2009).
  Proceedings of the EACL Workshop on Language Technology and Resources for Cultural Heritage, Social Sciences, Humanities, and Education. Athens.
• A. van den Bosch, P. Lendvai, M. van Erp, S. Hunt, M. van der Meij, R. Dekker (2009).
  Weaving a new fabric of natural history.
  Interdisciplinary Science Reviews, 34:2.
• T. Declerck and P. Lendvai (2009).
  Extraction de concepts et relations sémantiques á partir des labels d'ontologies.
  In: S. Despres, N. Grabar (eds.). Acquisition et modélisation de relations sémantiques, Toulouse, France, IRIT, 11/2009. Association (ELRA), Paris, 5/2010.

• P. Lendvai (2008).
  Alignment-based Expansion of Textual Database Fields.
  In: A. Gelbukh (Ed.), Proceedings of the Computational Linguistics and Intelligent Text Processing 9th International Conference, CICLing 2008. Lecture Notes in Computer Science, Vol. 4919/2008, Berlin / Heidelberg: Springer.
• P. Lendvai and S. Hunt (2008).
  From Field Notes towards a Knowledge Base.
  In: Proceedings of the Sixth International Language Resources and Evaluation (LREC-08). Marrakech, Morocco.
• M. van Erp, P. Lendvai, A. van den Bosch, S. Hunt (2008).
  Automatic Ontology Construction for Improved Access to Taxonomic Databases.
  At: International Workshop on Distributed Sensing and Collective Intelligence in Biodiversity Monitoring. Amsterdam.

• P. Lendvai and J. Geertzen (2007).
  Token-based chunking of turn-internal dialogue acts.
  SigDial-07, Antwerp, Belgium.

• P. Lendvai, A. van den Bosch (2005).
  Robust ASR lattice representation types in pragma-semantic processing of spoken input.
  In Proc. of the AAAI Spoken Language Understanding Workshop, SLU-05 (pp. 15-22), Pittsburgh, PA.
• P. Lendvai (2005).
  Conceptual taxonomy identification in medical documents.
  In Proc. of The Second International Workshop on Knowledge Discovery and Ontologies (KDO-05), held within ECML/PKDD (pp. 31-38), Porto, Portugal.
• W. Daelemans, A. van den Bosch, S. Canisius, P. Lendvai (2005).
  Robust Language Understanding in Dutch Question Answering Dialogues.
  In Proc. of SIREN-05, the Scientific ICT Research Event Netherlands, Technische Universiteit Eindhoven.
• P. Lendvai (2005).
  Taxonómia felismerése dokumentumszerkezetből.
  In Proc. Magyar Szamítógépes Nyelvészeti Konferencia, MSZNY-2005, pp. 88-95, Szeged, Hungary.

• P. Lendvai, A. van den Bosch, E. Krahmer, S. Canisius (2004).
  Memory-based robust interpretation of recognised speech.
  In Proc. of SPECOM-04, 9th International Conference "Speech and Computer" (pp. 415-422), St. Petersburg, Russia.
• P. Lendvai (2004).
  Extracting information from spoken user input. A machine learning approach.
  Ph.D. thesis, Tilburg University, Netherlands.

• P. Lendvai, A. van den Bosch, E. Krahmer (2003).
  Machine learning for shallow interpretation of user utterances in spoken dialogue systems.
  In Proc. of EACL-03 Workshop on Dialogue Systems: interaction, adaptation and styles of management (pp. 69-78), Budapest.
• P. Lendvai (2003).
  Learning to identify fragmented words in spoken discourse.
  In Proceedings of EACL-03 Student Research Workshop (pp. 25-32), Budapest.
• P. Lendvai and L. Maruster (2003).
  Process discovery for evaluating dialogue strategies.
  In Proc. of ISCA Workshop on Error Handling in Spoken Dialogue Systems (pp. 119-122), Chateau d'Oex-Vaud, Switzerland.
• P. Lendvai, A. van den Bosch, E. Krahmer (2003).
  Memory-based disfluency chunking.
  In Proc. of DISS-03, Disfluency in Spontaneous Speech Workshop, Goeteborg, Sweden.

• P. Lendvai, A. van den Bosch, E. Krahmer, M. Swerts (2002).
  Improving machine-learned detection of miscommunications in human-machine dialogues through informed data splitting.
  In Kuebler, S. & Hinrichs, E. (Eds.), Machine Learning Approaches in Computational Linguistics. Trento, Italy: ESSLLI.
• P. Lendvai, A. van den Bosch, E. Krahmer, M. Swerts (2002).
  Multi-feature error detection.
  In Theune, M., Nijholt, A. & Hondorp, H. (Eds.), Language and Computers: Studies in Practical Linguistics (pp. 163-178). Amsterdam: Rodopi.